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Journal ArticleDOI

Discrete event and hybrid systems in robotics and automation: an overview

Tarek M. Sobh, +1 more
- 01 Jun 1997 - 
- Vol. 4, Iss: 2, pp 16-19
TLDR
In this article, the authors present an overview of some existing strategies that are used to control systems in real-time based on sensory data, including event and hybrid systems modeling, which has been used extensively in automation, robotics and manufacturing applications.
Abstract
Discrete event and hybrid systems modeling has been used extensively in automation, robotics, and manufacturing applications. Different frameworks for dynamic supervisory controllers are used in flexible manufacturing systems (FMS) and automated processes. This article presents an overview of some existing strategies that are used to control systems in real-time based on sensory data.

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Citations
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Journal ArticleDOI

Automata-based modeling and control synthesis for manufacturing workcells with part-routing flexibility

TL;DR: A modeling and control synthesis technique is presented for FMCs that allow part-routing flexibility and a minimization procedure is outlined to significantly reduce the state-space of EMA-based supervisors without affecting the behavior enforced on the (controlled) FMC.
Journal ArticleDOI

Moore Automata for the Supervisory Control of Robotic Manufacturing Workcells

TL;DR: A novel modeling and control synthesis technique is presented for FMCs that allow part-routing flexibility and combines Extended Moore Automata (EMA) and Controlled-Automata theories to synthesize supervisors for such FMC's.
Journal ArticleDOI

A hybrid PC/PLC architecture for manufacturing-system control—theory and implementation

TL;DR: A novel and generic PC/PLC-based software/hardware architecture for the control of flexible manufacturing workcells based on the utilization of any one of the available formal discrete-event-system control theories in conjunction with state-of-the-art industrial programmable-logic controllers (PLCs).
Journal ArticleDOI

Hierarchical hybrid modelling and control of an unmanned helicopter

TL;DR: A hybrid modelling and control design scheme for an unmanned helicopter that has a hierarchical form with three layers: the regulation layer, the motion planning layer, and the supervision layer that can flexibly command the helicopter to perform different tasks, autonomously.
Proceedings ArticleDOI

Design and implementation of supervisory control schemes in industrial automation systems

TL;DR: This paper proposes a control algorithm dealing with the continuous activities, as well as the discrete ones, of the hybrid system, and the direct implementation of the proposed algorithm to the industrial environment is discussed.
References
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Journal ArticleDOI

Petri nets: Properties, analysis and applications

TL;DR: The author proceeds with introductory modeling examples, behavioral and structural properties, three methods of analysis, subclasses of Petri nets and their analysis, and one section is devoted to marked graphs, the concurrent system model most amenable to analysis.
Journal ArticleDOI

The control of discrete event systems

TL;DR: The focus is on the qualitative aspects of control, but computation and the related issue of computational complexity are also considered.
Book ChapterDOI

Modular Supervisory Control of Discrete Event Systems

TL;DR: In this article, a modular approach to the synthesis of supervisory control for discrete-event systems is presented, where the basic problem is to ensure by appropriate supervision that the closed-loop behavior of the system lies within a given legal behavior.
Journal ArticleDOI

Performance evaluation and perturbation analysis of discrete event dynamic systems

TL;DR: This is a conceptual and speculative paper concerning the future development of system and control theory in operational and discrete event systems with particular emphasis to the techniques of perturbation analysis.
Journal ArticleDOI

A framework for real-time discrete event control

TL;DR: The TTM/RTTL (timed transition model with real- time temporal logic) framework is presented for modeling, specifying, and analyzing real-time discrete-event systems.
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